Navigation auf zora.uzh.ch

Search ZORA

ZORA (Zurich Open Repository and Archive)

Control and signal processing by transcriptional interference

Buetti-Dinh, A; Ungricht, R; Kelemen, J Z; Shetty, C; Ratna, P; Becskei, A (2009). Control and signal processing by transcriptional interference. Molecular Systems Biology, 5:300.

Abstract

A transcriptional activator can suppress gene expression by interfering with transcription initiated by another activator. Transcriptional interference has been increasingly recognized as a regulatory mechanism of gene expression. The signals received by the two antagonistically acting activators are combined by the polymerase trafficking along the DNA. We have designed a dual-control genetic system in yeast to explore this antagonism systematically. Antagonism by an upstream activator bears the hallmarks of competitive inhibition, whereas a downstream activator inhibits gene expression non-competitively. When gene expression is induced weakly, the antagonistic activator can have a positive effect and can even trigger paradoxical activation. Equilibrium and non-equilibrium models of transcription shed light on the mechanism by which interference converts signals, and reveals that self-antagonism of activators imitates the behavior of feed-forward loops. Indeed, a synthetic circuit generates a bell-shaped response, so that the induction of expression is limited to a narrow range of the input signal. The identification of conserved regulatory principles of interference will help to predict the transcriptional response of genes in their genomic context.

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Molecular Life Sciences
08 Research Priority Programs > Systems Biology / Functional Genomics
Dewey Decimal Classification:570 Life sciences; biology
Scopus Subject Areas:Life Sciences > General Biochemistry, Genetics and Molecular Biology
Life Sciences > General Immunology and Microbiology
Life Sciences > General Agricultural and Biological Sciences
Physical Sciences > Applied Mathematics
Uncontrolled Keywords:General Biochemistry, Genetics and Molecular Biology, Computational Theory and Mathematics, General Immunology and Microbiology, Applied Mathematics, General Agricultural and Biological Sciences, Information Systems
Language:English
Date:2009
Deposited On:31 Jan 2010 18:04
Last Modified:09 Jan 2025 04:42
Publisher:Nature Publishing Group
ISSN:1744-4292
OA Status:Gold
Free access at:PubMed ID. An embargo period may apply.
Publisher DOI:https://doi.org/10.1038/msb.2009.61
PubMed ID:19690569

Metadata Export

Statistics

Citations

Dimensions.ai Metrics
23 citations in Web of Science®
22 citations in Scopus®
Google Scholar™

Altmetrics

Downloads

137 downloads since deposited on 31 Jan 2010
2 downloads since 12 months
Detailed statistics

Authors, Affiliations, Collaborations

Similar Publications